Job Description Summary

The Hybrid-Electric team in Munich is looking for a student with a background in Electrical Engineering to support in the development of tools for the preliminary design and automation of detailed design of electrical machines.

Join us and you’ll find yourself in a dynamic environment where our ongoing, substantial investment in research and development keeps us looking ahead. At GE Aerospace, we believe the world works better when it flies. As a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft, our substantial investment in research and development keeps us looking ahead. We have a relentless dedication to the future of safe and sustainable flight and believe in our talented people to make it happen.

The student will be responsible for the development of Python-based tools that do the following: 1) calculations of analytical models of electrical machine for sizing; and 2) automate the setup, simulation and postprocessing of parametric analyses across different disciplines and tools needed for electric machine detailed design.

Job Description

Qualifications/Requirements:

• Studying a Master’s degree in Electrical/Computer Engineering or equivalent.

• Proficiency in Python programming and working knowledge of different libraries.

• Knowledge of electrical machines by coursework and previous practical design experience (labs, projects or internships).

• Previous scripting experience in one of the following: Matlab, VBA, APDL.

• Previous experience working with ANSYS packages (preferably Motor-CAD or ANSYS Maxwell) or other electromagnetics FEA software.

• Fluency in English.

Desired qualifications:

• Previous hands-on experience by full-time positions, internships or student teams at university.

• Structured approach of working, coding, and documenting.

• Knowledge about fundamentals of mechanics and heat transfer. Experience with FEA tools in electrical, mechanical or thermal modelling is a plus.

• Ability to work in cross-functional global team in multi-cultural environments.

• Self-directed, highly motivated, quick learner, flexible attitude, strong communication skills.

• Identify improvement opportunities and be able to communicate them to the team.

• Keen listener, proven facilitation and collaboration skills.

• Passion for technology advancement.

Additional Information

Relocation Assistance Provided: No